Software & internal tools
Design and build applications around the people using them: interfaces, business rules, permissions, and the data behind each action.
AI Engineer
Expand your capabilities with AI engineers
A stalled build, an unfinished prototype, or a developer’s departure can leave important software without an owner. Your Engineer joins the team to take responsibility for the build and what comes next.
You work directly with the person designing, building, and maintaining it. They learn the context behind your systems, explain the tradeoffs, and use AI throughout development to extend what your team can do.
Fully embedded with your team. Start in as little as 2 weeks.
Capabilities
What your Engineer can build and run
From a new application to the systems already running your business.
Systems & data
Build integrations that keep records moving between systems. Structure and reconcile the data so reporting and downstream tools have a dependable foundation.
AI agents & workflows
Connect AI models to the information and tools a task needs. Build the surrounding workflow, check the outputs, and make the result usable by the team.
Production engineering
Test and deploy changes, investigate failures, and keep development moving in existing software. Understand what depends on a system before changing it.
Playbooks
A few places your Engineer can start
Build around a specific business need, with the software, data, and integrations to make it work.
Resolve routine support requests
AI Support Agent
Connect an agent to your support knowledge and ticket workflow. It answers routine questions, escalates the requests that need a person, and logs each interaction so the team can follow what happened.
Customer questionAnswer or escalationInteraction log
Put company knowledge to work
Company Brain
Bring SOPs, playbooks, business metrics, and knowledge about your tools into a shared knowledge layer. Give your team and its AI tools a way to query the context behind how the business runs.
Company knowledgeShared contextUseful answers
Build the tool your workflow needs
SaaS Replacement
Rebuild the functions your team relies on in a custom application. Connect it to your existing systems and migrate the data and workflows from the old tool, with the interfaces and permissions your team needs.
Existing workflowCustom applicationData migration
Pricing
Your AI Engineer
From$8K/month
Start in as little as 2 weeks.
Fully embedded with your team.
Your Engineer is staffed to your business and works directly with you. You set development priorities together, review working software, and keep improving the systems your team relies on.
Backed by 3rd Brain.
We provide senior support, training, and mentorship throughout the engagement alongside our custom AI Operations Strategist Agent and Consulting platform.
Fit guarantee
If your Engineer is not the right fit, we find a replacement. There is no replacement fee.
From Our Clients
See More Results From an idea to something the team can use
“We just did our first AI agent training and everyone built their first agent.”
Common Questions
Working with an AI Engineer
Can the Engineer work alongside our developers?
Yes. Your Engineer is embedded in your team, with responsibilities defined around the work you need to get done. They can take on internal tools and integrations while your developers focus on the core product, or contribute to the same development effort. You work directly with them on priorities and review the software together.
Can we start from something we prototyped with AI?
Yes. Bring the prototype and the problem it is meant to solve. Your Engineer can review the code, data, integrations, and deployment needs, then work through what it takes to put it into use. That includes understanding where the prototype works, where it breaks, and what needs to change before the team relies on it.
Can they improve software we already use?
Yes. The role can include new builds and improvements to existing systems. That might mean connecting applications, repairing a data pipeline, adding a feature, or making an internal tool more reliable. Your Engineer starts by understanding the existing code and dependencies so changes account for the work already running through them.
How is Company Brain different from a shared drive?
A shared drive holds files. Company Brain organizes the knowledge inside your SOPs, playbooks, business metrics, and tool documentation so people and AI can query it together. The engineering work is in connecting that information and making it usable in the context of your business.
Does SaaS replacement mean rebuilding every feature?
The starting point is the work your team actually needs the software to do. Your Engineer can build around those workflows, interfaces, permissions, and integrations, then plan the migration from the existing tool. The scope follows your requirements and dependencies rather than the vendor's entire feature list.
What happens when an AI Agent needs a person?
Escalation is part of the workflow. Your Engineer connects the agent to the humans who know the process so things that need human judgment can reach your team, with the interaction recorded. Your team defines what the agent should handle and where a person needs to take over.